Top Remote Data Science Jobs in Richmond, VA

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

Lead the development of advanced analytics and AI/ML models, involving statistical modeling and machine learning, to provide actionable insights for stakeholders and clients.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

Lead people analytics initiatives by combining HR, productivity, and market data to generate actionable insights on performance, retention, and organizational agility. Design research and assessment methods, build ML/NLP models, visualize results for executives, manage projects, and train HR stakeholders to scale data-driven solutions across the enterprise.

Lead design and implementation of constrained, non-linear marketing investment optimization frameworks. Build scalable decision support tools, partner with Marketing/Finance/Product/Technology, guide solver selection and validation, and drive roadmap for marketing optimization capabilities.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Sr Data Scientist will analyze workforce insights, apply data-driven methodologies, communicate findings with stakeholders, and lead HR analytics projects to enhance employee experience and organizational performance.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

Analyze complex datasets, develop and implement predictive models, collaborate with stakeholders to find data-driven growth opportunities, create visualizations, ensure data quality, and stay current with industry trends.